High Performance Wireless Research and Education Network

High Performance Wireless Research and Education Network

A Wireless Safety and Education Network for Society and Science http://hpwren.ucsd.edu/

High Performance Wireless Research and Education Network

1. Multi-Hazard Networks

2. HPWREN

3. AlertTahoe

4. Future Opportunities

Outline

High Performance Wireless Research and Education Network

Environmental Sensor

Networks

• Sensors in remote sites

• Communications

• Internet accessible

• Real time

• Research networks

• High quality data

• Public Safety networks

• Reliable

• Resilient

Multi-Hazard

Networks

High Performance Wireless Research and Education Network

HPWREN

High Performance Wireless Research and Education Network

HPWREN Background

• Started in 2000 under National Science Foundation grant

• Largest stakeholders

– Caltech - Mt Palomar Observatory

– San Diego County fire fighting agencies

– San Diego Gas and Electric

– San Diego State University

– Seismic Warning Systems, Inc.

– UC San Diego

• San Diego Supercomputer Center

• California Institute for Telecommunications and Information

Technology

• Scripps Institution of Oceanography

• Shared resources

– CalFire

– San Diego Sheriff

High Performance Wireless Research and Education Network

HPWREN Background

• Started in 2000 under National Science Foundation grant

• Major stakeholders

• Shared resources

High Performance Wireless Research and Education Network

HPWREN Real Time Camera Imagery

• Fire detection

• Fire monitoring

• Fire perimeter mapping

• First used on the 2002 Pines fire in San Diego County

• Used on all major San Diego county wildfires since then

• Youtube animation videos posted for– 2003 Cedar Fire

– 2006 Horse Fire

– 2007 Harris and Witch Creek Fires

– 2013 Chariot, DeLuz, Lyons, Mountain, and Silver Fires

– 2014 Banner, Bernardo, Highway, Poinsettia, and Tomahawk

Fires

High Performance Wireless Research and Education Network

San Diego County Red Mountain Fire Cameras

• Southeast (left) “Highway” Fire

• Southwest (center rear) “Poinsettia” Fire

• West (right) “Tomahawk” Fire

14 May 2014: 9 Simultaneous Active

Fires in San Diego County

High Performance Wireless Research and Education Network

Mountain Fire near Idyllwild - July 2013

AlertTahoe

Access to Leverage Emergency information in Real Time

Multi-purpose, Integrated Hazard Platform

…it’s the network and scalable!

AlertTahoe Multi-

Hazard

Cold Springs Fire, Nevada, August 15th, 2015–2nd night

#progress

• Proxy web interface

• Time-lapse interface

• Lightening strike overlay

• “10 gig E” web interface

• Twitter public interface

• Fire lat, long positioning

• Machine vision, auto detect

• Cloud-based, scalability

North Tahoe CTC Site

King Fire Sept. 17th, 2014

Near-IR band

Solar Only Camera/

Seismometer Site

Machine Vision Algorithm underway, Raul Rojas (UNR), Carl Pennypacker (LBL)

Mountain Fire – SoCal–pipeline implementation, planned 2017-18

Callaghan Peak, August 10th, 2015

WIFIRE is funded by NSF 1331615

Towards an Integrated Cyberinfrastructure

for Scalable Data-Driven Monitoring,

Dynamic Prediction and Resilience of Wildfires

Ilkay Altintas1, Jessica Block2, Raymond de Callafon3, Daniel Crawl1, Charles Cowart1, Amarnath Gupta1, Mai Nguyen1, Hans-Werner Braun1, Jurgen Schulze2, Michael Gollner4, Arnaud Trouve4 and Larry Smarr2

1San Diego Supercomputer Center, University of California San Diego, U.S.A.2Qualcomm Institute, University of California San Diego, U.S.A.

3Dept. of Mechanical and Aerospace Engineering, University of California San Diego, U.S.A.4Fire Protection Engineering Dept., University of Maryland, U.S.A.

This work was supported mainly by NSF-1331615 under CI, Information Technology Research and SEES Hazards programs, and in part by NSF-112661, NSF-1062565 and NSF- 0941692.

WIFIRE is funded by NSF 1331615

Use Case: Fire Growth

• Goal: Simulate fire growth in southern California

• Run FARSITE and Firefly

• Inputs:– Landscape (topography, fuel, etc.)

– Weather (wind, temperature, humidity, etc.)

– Ignition perimeter

• Outputs:– Fire perimeters

– Intensity, flame length, spread rate, etc.

WIFIRE is funded by NSF 1331615

Use Case: Fire Growth

WIFIRE is funded by NSF 1331615

Surface Fuels

WIFIRE is funded by NSF 1331615

Historical Fires - 2013 Mountain Fire

WIFIRE is funded by NSF 1331615

Santa Ana Condition Parameters

WIFIRE is funded by NSF 1331615

Fire Growth Model- 6 Hour Burn

High Performance Wireless Research and Education Network

Santa Margarita River - December 28, 2004

High Performance Wireless Research and Education Network

Santa Margarita River - February 25, 2003

High Performance Wireless Research and Education Network

Multi-Hazard Networks

• Foundation is the network, not the sensor

• Microwave and fiber based communications

• Can attach any type of IP enabled sensor

• Greater bandwidth relative to cellular

– requirement for fire camera networks

• Wide spread failure not associated with

catastrophic events (i.e. cellular), or fiber

damage

• Scalable, user determines failover paths

High Performance Wireless Research and Education Network

Biology/Ecology sciences

High Performance Wireless Research and Education Network

Mount Laguna sensor

instrumentation

temperature

relative humidity

fuel moisture fuel temperature data logger

barometric pressure

Pan-tilt-zoom camera

support

equipment

3D ultrasonic

anemometer solar

radiation

tipping

rainbucket

anemometer

High Performance Wireless Research and Education Network

Potential for Significant Ground Shaking

High Performance Wireless Research and Education Network

Southern California Major Surface Ruptures

High Performance Wireless Research and Education Network

ANZA Seismic Network

High Performance Wireless Research and Education Network

High Performance Wireless Research and Education Network

Image created by USGS

High Performance Wireless Research and Education Network

Benefits of HPWREN and AlertTahoe

• Networking platform for multi-hazard sensor applications- Wild fires Cameras, met sensors- Extreme weather Cameras, met sensors- Earthquakes Seismic sensors, GPS

• Provides early intel on fires– Allows faster and more effective response

• Smaller fires• Better use of resources• Minimizes costs

– Fire Detection algorithms ( UNR, UC Berkeley )

• National Weather Service uses cameras for daily/hourly weather updates

– Extreme weather events– Smoke prediction– Health warnings

• Dedicated Secure Internet• Chamber of Commerce mode

– Views of weather and recreational areas

• Real-time public access to information• Real-time aid in command decision making

High Performance Wireless Research and Education Network

Path Forward• Can Earthquake Early Warning/Alert Systems evolve from “one

trick pony” networks standing guard for the generational event?

• Microwave-based Multi-Hazard Networks

• have more constituents

• lower overall costs to build/run due to sharing of infrastructure

• are constantly tested

• pay for themselves in a couple years (thanks to fire)

• can attach any type of IP enabled sensor

• access to remote environments

• Cellular technologies are still unproven during catastrophic events

and have a poor performance in terms of blocks of downtime.

Good for diversity, bad as core technology. Wide spread failure

not associated with catastrophic events (i.e. cellular), or fiber

damage

High Performance Wireless Research and Education Network

High Performance Wireless Research and Education Network

A Wireless Safety and Education Network for Society and Science http://hpwren.ucsd.edu/